Generic Onboard Assessment of Turbulence Severity for UAS Platforms (GOATS-UAS)

An algorithmic approach for estimation of encountered turbulence intensity for UAS platforms is proposed for development, that leverage prior experience in development and testing of an icing detection scheme for tiltrotor aircraft. The methodology borrows from Fault Detection Filter design approaches, and uses a model-based scheme that is sufficiently general to permit its adoption onto a host of UAS platforms ranging in size and operational environment. Use of existing available data onboard the UAS avoids the need to install separate measurement systems, such as LIDAR-based sensors, and the system ultimately promises to help reduce structural fatigue loads on the UAS, leading to extended operational lifetimes. The Phase I program here will demonstrate the technology via limited simulation trials and a flight test program, and will provide sufficient risk reduction to allow for continued development to a prototype demonstration at the conclusion of the Phase II research and development program.